Run predictions from state-of-the-art machine learning models right from your browser. Use intuitive GUIs, no preprocessing or coding required! You can upload your own models here by logging into your Gradio account with GitHub and uploading a GitHub repository.
Anime2Sketch: A Sketch Extractor for Anime Arts with Deep Networks
Towards Real-time and Light-weight Line Segment Detection
GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow
demo for piano transcription
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
A demo of Noise2Same, an image denoising method developed by Yaochen Xie et al. and presented in NeurIPS 2020.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Demo for GPT-neo and m2m using Gradio Series
Is a Green Screen Really Necessary for Real-Time Portrait Matting?
U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection
demo for ctrlsum
demo for DialoGPT
demo for OpenAI CLIP: Connecting Text and Images for visual classification
demo for Image Classification using VIT and Deit with gradio parallel
demo for SimCSE
demo for yolov5
Longformer: The Long-Document Transformer
demo for MobileStyleGAN
Instagram Filter Removal with PyTorch
Demo for Instagram Filter Removal on Fashionable Images with PyTorch
demo for layout-parser
demo for m2m100
demo for spleeter
A super resolution model. Try it with your low resolution images now!
demo for wav2vec 2.0
demo for GPT-2
demo for speech seperation using speechbrain
A simple pdf to audio converter.
NUBIA stands for 'NeUral Based Interchangeability Assessor'. NUBIA gives a score on a scale of 0 to 1 reflecting how much it thinks the candidate text is interchangeable with the reference text.
Predict a sketch
A Convolution Neural Network model trained on Google's QuickDraw dataset.
xlm-t demo for multilingual sentiment classification
A demo of Inception Net, along with many examples where it does not predict the correct class.
nussl (pronounced 'nuzzle') is a flexible, object oriented Python audio source separation library created by the Interactive Audio Lab at Northwestern University
Identifying Skin Cancer
Predicts whether an image of skin is cancerous or not. This model is EXPERIMENTAL and should only be used for research purposes.
demo for deit